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AI4CLOUDARTIFICIAL INTELLIGENCE FOR PUBLIC, PRIVATE & HYBRID CLOUDS
ENTERPRISE INFRASTRUCTURE MONITORING
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AI4CloudHealthcare EMR Challenges• EMR systems are composed of very
large, very complex, highly integrated components.
• High degree of real-time mission critical activities heavily dependent on it staff.
• Outages literally put lives at risk.
• Broadly dispersed and highly diverse user community
• Multiple types of sophisticated users (clinicians, doctors, surgeons, governance, finance)
• Functions are spread across different departments with different requirements and multiple record types.
• Legacy systems are often intertwined with brand new state of art storage subsystems and applications.
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AI4CloudHealthcare EMR Challenges• EMR systems are
composed of very large, very complex, highly integrated components.
• While the Application architecture may look like this………….
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AI4CloudHealthcare EMR Challenges• ….The IT infrastructure to support it
looks more like this.
• The biggest challenge in Healthcare IT Management today is correlating Application health with specific infrastructure conditions.
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AI4CloudSolving The Healthcare EMR Challenge
• Increasing complexity demands a new approach
• The same broad category of Artificial Intelligence solving current medical challenges can be leveraged to address today’s IT challenges!
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AI4CloudNarrow AI for IT Management• BUSINESS IMPACT
AVOIDANCE• Automatically identify resiliency
and performance issues before they affect business service.
• MAINTAIN SLA’S • Automate excellent SLA
compliance.
• AUTOMATE WAR ROOM STYLE RESOLUTIONS• Automate cross-team
collaboration in real time.
• REDUCE REDUNDANT LABOR COSTS• Eliminate reactive team-based
troubleshooting.
• FREE STAFF AUGMENTATION• Use built in automated human
intelligence to cover gaps in skillsets.
• Virtualization, routing, switching, firewalls, storage, etc.
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AI4CloudAI FOUNDATION• INDUSTRY LEADING ARTIFICIAL
INTELLIGENCE
• ELIMINATES TROUBLESHOOTING FOR COMMON PROBLEMS
• AUTOMATED HUMAN EXPERTISE
• DYNAMIC LEARNING
• HUMAN EXPERTISE AT COMPUTER SCALE & SPEED
• FOUNDATION FOR COALESCING ELEMENT MANAGERS
• END TO END CORRELATION
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AI4CloudArtificial Intelligence For:• Private And Hybrid Clouds• Business Impact Avoidance• Docker Containers• NSX/NFV• Hyperconverged Infrastructures• Application Services• Load balancers, Webservers,
Databases, Etc.• Multi-vendor Storage Platforms• Clusters - VMware, Microsoft, Veritas• Virtualization – Server, Network &
Storage
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AI4CloudTOPOLOGY EMBEDDED AI• Business Impact Modeling
• In this diagram we present a simple outline of a Radiology Department that depends on multiple Applications.
• Automated Intelligence• All of the infrastructure Elements in complex
dynamic Healthcare infrastructures are Discovered, Modeled and Analyzed Automatically.
• Dynamic Learning• The Topology automatically stays in Sync with
dynamic changes across the entire Enterprise
• Easy-to-implement Business Impact• Simply connect Business Objects directly to
Applications• The software understands all subtending
dependencies
• Powerful Visualization Technology• Views are automatically scoped to render directly
connected objects• Hides the complexity of the underying or
overlying objects.• Eliminates the “Ball of String” view problems
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AI4CloudAutomated Intelligence• In this example we show that
there are a variety of conditions in the Data Center infrastructure hosting the Radiology Department.
• As you will see in the upcoming demo slide, only one condition needs immediate attention in order to restore resiliency to Radiology Business Services.
• Thanks to Business Impact, all stakeholders know in real-time exactly what the problem is.
• What’s more important is they know how they are impacted.
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AI4CloudPowerful Visualization Technology• Views are
automatically scoped to render directly connected objects
• Smart Visualization hides the complexity of underlying objects.
• Eliminates the “Ball of String” view problems inherent in other Management Applications
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EMBEDDEDHUMAN INTELLIGENCE• BUSINESS IMPACT AVOIDANCE
• Radiology has a service “AtRisk”• In this example it is due to reduced
redundancy in the Isilon Image service
• EMBEDDED INTELLIGENCE• Using built-in automated human
intelligence, the software identifies the impact and separates the problem from the symptoms automatically.
• It then routes Relevant information to the appropriate stakeholders without any need for manual “problem routing” rules.
• AUTOMATE WAR ROOM STYLE RESOLUTIONS• Automate cross-team collaboration in
real time.• The Radiology team immediately knows
the Radiology Service status and who owns the problem.
• REDUCE REDUNDANT LABOR COSTS• The Web Admin knows immediately
who his HTTPService outage affects and how it does or does not impact the business.
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AI4CLOUD
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